Predicting Personality Using Novel Mobile Phone-Based Metrics
By Yves-Alexandre de Montjoye, Jordi Quoidbach, Florent Robic, Alex Pentland. Social Computing, Behavioral Modeling, and Prediction, 2013
329 citations recorded by the source corpus.
Subfields: Clinical Psychology, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/801fe6dd8bff6342207058a70429579d731e3c2a
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In Clinical Psychology
In Statistical and Nonlinear Physics
Citations in the corpus
- Overview of the 3rd Author Profiling Task at PAN 2015 (2015, background): “Several studies have started exploring the wealth of behavioral data made available by cameras, microphones [54, 6, 41, 31, 2], wearable sensors [48, 26], and mobile phones [68, 12, 42], by linking personality traits to dimensions such as face to face interaction or speech, video, and text transcrip”
- Lab And/Or Field? Measuring Personality Processes and Their Social Consequences (2015, unknown): “29: 250–271 (2015) DOI: 10.1002/per (de Montjoye et al., 2013; Lane et al., 2014).”
- Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data (2014, methodology): “Smartsteps features Diversity and regularity have been shown to be important in the characterization of different facets of human behavior and, in particular, the concept of entropy has been applied to assess the predictability of mobility [35] and spending patterns [22, 33], the socio-economic…”
- Unique in the shopping mall: On the reidentifiability of credit card metadata (2015, background): “These metadata are generated by our use of technology and, hence, may reveal a lot about an individual ( 16 , 17 ).”